His research interests include high-dimensional approximation, uncertainty quantification, machine learning and artificial intelligence, stochastic optimization and control, numerical solution of stochastic differential equations, and model reduction for parametrized differential equations. He received the DOE Early Career Award in 2022. He serves as Associate Editor for the Journal of Numerical Methods for Partial Differential Equations, and the Associate Editor for the Journal of Machine Learning for Modeling and Computing.